This article explores the research and development undertaken as part of a Master's degree in Computer Engineering, with a primary focus on enhancing control mechanisms for natural wood drying. While this method i...
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Remote sensing satellite imagery has been considered a time-efficient way to analyze and understand some crucial components of typical urban ecosystems. Due to the fastdeveloping technology in the part of remote sensi...
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The proceedings contain 289 papers. The topics discussed include: cloud bursting: intelligent technique in cloud computing;water-quality-analysis using machine learning;an optimized ensemble machine learning model for...
ISBN:
(纸本)9781665487320
The proceedings contain 289 papers. The topics discussed include: cloud bursting: intelligent technique in cloud computing;water-quality-analysis using machine learning;an optimized ensemble machine learning model for automobile risk factor prediction;a comparative evaluation of valine-leucine amino acid impact for disease identification using fuzzy C-means clustering and KNN classification;conversational interfaces for health consultation;visualization and prediction of heart disease using big dataanalytics;speech difficulties and clarification: a systematic review;an investigative study of long-term implication of extended reality applications in educational pursuits for learning-disabled population: a recommendation approach;an agile review of machine learning technique;scheduling cloudlets in a cloud computing environment: a priority-based cloudlet scheduling algorithm (PBCSA);an overview of supervised machine learning algorithm;and advanced blood management system community method based on deep learning.
The use of smart building solutions can bring advantages to both a building and its users. The main motivation of this work is to propose a solution based on internet of things devices to retrieve knowledge from histo...
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smart functionalities are a core requirement in modern electrical systems and applications and include the detection of anomalies and faults, condition monitoring, but also advanced predictive and prescriptive analyse...
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Cloud-integrated lighting management uses Internet of Things (IoT) technologies to improve warehouse energy efficiency. The research examines how warehouse lighting systems might improve energy use using IoT devices a...
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ISBN:
(数字)9798350364828
ISBN:
(纸本)9798350364835
Cloud-integrated lighting management uses Internet of Things (IoT) technologies to improve warehouse energy efficiency. The research examines how warehouse lighting systems might improve energy use using IoT devices and sensors. To create a smart lighting management system that adjusts to warehouse demands using real-time data and cloud-based analytics. The IoT-driven technology monitors occupancy, ambient light, and other characteristics via sensors. The sensors provide data to a cloud platform for real-time processing. The cloud-based solution optimizes energy use by dynamically adjusting lighting settings using occupancy-based management and daylight harvesting. An intelligent and adaptable lighting system that illuminates warehouse activity and minimizes energy consumption and expenses is the aim. The research found that warehouses with IoT-based lighting control may save a lot of electricity. Cloud-based solutions provide scalability, flexibility, and remote management, making them promising for large-scale industrial settings. The system may improve energy efficiency in commercial and industrial settings, contributing to sustainable practices. smart and connected solutions are essential for current warehouse energy issues.
The demand for large-scale diverse datasets is rapidly increasing due to the advancements in AI services impacting day-to-day life. However, gathering such massive datasets still remains a critical challenge in the AI...
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Precision farmers are enhancing crop yields and crop life through the implementation of IoT-based agricultural management. This investigation investigates the methods by which precision farmers are employing Internet ...
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ISBN:
(数字)9798331543624
ISBN:
(纸本)9798331543631
Precision farmers are enhancing crop yields and crop life through the implementation of IoT-based agricultural management. This investigation investigates the methods by which precision farmers are employing Internet of Things (IoT) devices for real-time crop management through data collection, analysis, and decision-making. The impact of IoT on soil moisture, nutrient levels, and ambient conditions is investigated in this study using a sensor network, drones, and smart irrigation systems. Yield, resource efficacy, and cost-effectiveness are significantly enhanced in comparison to conventional agricultural methods. The IoT is employed in precision farming to address current agricultural issues in novel ways. It accomplishes this by precisely regulating agricultural inputs and providing dataanalytics insights. According to the research, IoT technology has the potential to address the increasing global demand for food in a sustainable and environmentally favorable manner. The study scales and interoperate the IoT to advance precision farming.
With the continuous development of smart grid technology, a higher standard of power quality is proposed. In order to meet the power demand of users, it is of great significance to study the 3D cable intelligent manag...
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In this paper, we propose a lightweight many-to-many anonymous authenticated key agreement scheme for intelligent VANETs, providing a high level of security by evading communication with malicious vehicle users. By co...
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